The authors showed that the | |
features in the middle of the network are the most performant, and can be used as-is to train a linear model (such as | |
a sklearn logistic regression model for example). |
The authors showed that the | |
features in the middle of the network are the most performant, and can be used as-is to train a linear model (such as | |
a sklearn logistic regression model for example). |